Supplementary materials for the paper

Karspeck, A.R., A.Kaplan, S.R.Sain, 2012: Bayesian modelling and ensemble reconstruction of mid-scale spatial variability in North Atlantic sea-surface temperatures for 1850-2008. Quarterly Journal of the Royal Meteorological Society, 138, 234-248. doi: 10.1002/qj.900. Journal link To download in PDF (local copy).

Expected value and pointwise standard deviations of the mid-scale solution

The analysis was performed for the period January 1850 to March 2008. Januaries of 1850, 1942, and 1980 are illustrated in the paper by Figures 5, 10, 11, and 12, respectively. In particular, each of Figures 10-12 presents in its top two panels the pointwise expected values and standard deviations of the mid-scale solution. Here these fields are made available for the entire Jan 1850 - Mar 2008 period via a clone of Dr. Benno Blumenthal's IRI/LDEO Data Library (a.k.a. Ingrid).

The data for each of the figure panels shown in the paper can be accessed by clicking on the panels shown at the link above. The data can be visualized, subsampled, and/or downloaded in a variety of formats. Or you can download the data as gzipped NetCDF files directly from the links below. To download files click on their names:
expected_ssta_midscale.cdf.gz (28 MB), spread_ssta_midscale.cdf.gz (26 MB)

Here the access to the expected "total" SSTA anomalies (RSOS solution plus a mid-scale anomaly) is given. (For Januaries of 1850, 1942, and 1980 these are shown in Figure 5 of the Karspeck et al. (2012) paper, the rightmost panels.) These data can be downloaded as expected_ssta_total.cdf.gz (28 MB)

And here the access to an ensemble of 20 realizations sampled from the posterior distribution of the mid-scale SST anomaly field is given. (Figures 10-12 of Karspeck et al. (2012) illustrate Januaries of 1850, 1942, and 1980 each by four such realizations.) The entire file of these fields can be downloaded as a gzipped NetCDF file: ensemble_ssta_total_20mem.cdf.gz (564 MB)

Acknowledgements: This research was supported by the National Science Foundation (NSF) grant ATM04-17909 and ATM04-1797 and National Aeronautics and Space Administration (NASA) grants NNG04GL28G and NNX09AF44G.